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qxiaofan/awesome-uwb-localization: 《Graph Optimization Approach to Range-based ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

qxiaofan/awesome-uwb-localization

开源软件地址(OpenSource Url):

https://github.com/qxiaofan/awesome-uwb-localization

开源编程语言(OpenSource Language):

C++ 55.4%

开源软件介绍(OpenSource Introduction):

This is modified from localization . Thanks for his work for uwb localizaiton.

代码1:https://github.com/qxiaofan/awesome-uwb-localization

代码2:https://github.com/qxiaofan/awesome-uwb-driver

接下来简单介绍下上述程序如何运行?前提是参考下文,安装好相关依赖包。

mkdir catkin_ws1 #在某个目录下新建一个文件夹,当然名称可以自拟

cd catkin_ws1

mkdir src

之后,将上述的awesome-uwb-localization和awesome-uwb-driver工程下载到src目录下

之后在文件夹catkin_ws1下打开终端,输入:

catkin_make

编译成功后,通过命令:roslaunch localization_bag_play.launch 即可运行demo

localization

Localization ROS package for range sensors, i.e. ultra wide-band (UWB).

This repo also provides sensor fusion for multi-source, e.g. Optical Flow and Visual SLAM.

Preparation

System higher than Ubuntu 16.04 (with ROS).

Install dependencies:

sudo apt-get update

sudo apt install python-pip

sudo pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose

sudo easy_install -U statsmodels

sudo apt install libcholmod3.0.6 libcsparse3.1.4 libsuitesparse-dev python-cvxopt 

sudo apt install ros-kinetic-hector-trajectory-server

Install G2O from source. Download g2o to your non-ros source folder, make and install:

git clone https://github.com/RainerKuemmerle/g2o

Please checkout the following commit for compatibility.

cd g2o ; git checkout deafc01ee8315b9405351fb145238c5d62f82dc7
mkdir build ; cd build
cmake .. ; make -j4
sudo make install

Download uwb_driver to your ros workspace and install its dependencies:

git clone https://github.com/wang-chen/uwb_driver.git
sudo apt-get install ros-kinetic-serial

New support for UWB from bitcrazy:

please find its driver on:
https://github.com/wang-chen/lps-ros

To use UWB from bitcrazy, comment the following line in the CMakeLists.txt

add_definitions(-DTIME_DOMAIN)

Usage

1. The following ROS param should be set before the program is started

/uwb/nodesId: an array, the IDs of the UWB anchors (the last ID is the moving module to be localized)
/uwb/nodesPos: an array, the postions (x, y, z) of the UWB anchors (the last three elements, is the initial postion of the moving module to be localized)
/uwb/antennaOffset: the antenna offset on the moving module, there may be multiple antennas. DONOT SET IT IF THERE IS NO OFFSET  

One example can be found in the uwb_driver repo:

https://github.com/wang-chen/uwb_driver/blob/master/cfg/anchor.yaml

2. Program Parameters

It can be set by modifying the yaml files in the cfg folder.
Include the specific yaml file in your launch file. 
For example, the "uwb_only.yaml" sets parameters for uwb-only localization.

3. Topic subscriber

This localizaiton repo subsribes the specific sensor measurement topic.
Make sure they are published before the program is started.
The topic name can also be changed in the aformentioned yaml files.

If you are interested in this work, you may cite:

@article{fang2020graph,
  title={Graph Optimization Approach to Range-based Localization},
  author={Fang, Xu and Wang, Chen and Nguyen, Thien-Minh and Xie, Lihua},
  journal={IEEE Transactions on Systems, Man and Cybernetics: Systems},
  year={2020}
}

@inproceedings{fang2018model,
  title={Model-free approach for sensor network localization with noisy distance measurement},
  author={Fang, Xu and Wang, Chen and Nguyen, Thien-Minh and Xie, Lihua},
  booktitle={2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)},
  pages={1973--1978},
  year={2018},
  organization={IEEE}
}

@inproceedings{wang2017ultra,
  title={Ultra-Wideband Aided Fast Localization and Mapping System},
  author={Wang, Chen and Zhang, Handuo and Nguyen, Thien-Minh and Xie, Lihua},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={1602--1609},
  year={2017},
  organization={IEEE}
}



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